Lead Data Engineer – Azure | NV1 | Canberra

Lead Data Engineer Australian citizenship required. Must be able to obtain Negative Vetting Level 1 security clearance. Location: Canberra (Hybrid). What to Submit A tailored resume in docx format Individual responses to each criterion (maximum 3000 characters per criterion) RFQ Details RFQ ID: LH-08070 Agency: Department of Agriculture, Fisheries and Forestry Closing Date: Tuesday, 20 October 2026 – 11:59pm (Canberra time) Estimated Start Date: Monday, 09 November 2026 Initial Contract Duration: 12 months Extension Term: 12 months Number of Extensions: 2 Experience Level: Lead - EL1 equivalent Security Clearance: Must be able to obtain Negative Vetting Level 1 security clearance Location of Work: ACT Working Arrangements: Hybrid. Most of the section is located at Agriculture House in Canberra CBD. The standard expectation is for staff to attend the office three (3) working days each week. The section is supportive of flexible arrangements and consideration will be made to accommodate individual and collaboration needs. In-person attendance at important Agile ceremonies (currently held quarterly) and other important team / section events is a requirement. Maximum Hours: 40 hours per week Job Details The Department of Agriculture, Fisheries and Forestry (DAFF) is looking for a Data Engineer to join its Enterprise Analytics and Technology Services (EATS) section to work across its data and analytics platforms. We are seeking candidates with strong experience in developing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes, and /or the development of data products and complex data visualisations. The role will be responsible for design, development and testing activities across several data movement, data transformation, and data visualisation processes within DAFF. The data movement and transformation processes focus on the preparation of data for use in decision making processes across the department, utilising modern cloud technology (Azure & Databricks) to enable operational analytics use cases. To be successful in the role, you must have a strong work ethic including taking ownership, providing leadership, having a high level of productivity, and working with a multi-disciplinary team in an Agile development environment. You must have suitable qualifications or training in data engineering techniques and at least 5 years’ experience working as a data engineer. Candidates must hold a valid Negative Vetting Level 1 security clearance or be willing and eligible to obtain one. Commencement within the section is contingent on the candidate obtaining a Baseline clearance. Please provide your CSID on your resume/CV (if known). Key Duties and Responsibilities Be responsive, flexible, and work collaboratively as part of an agile team. Strong relationship building, and negotiation skills. Strong written and oral communication skills. Creating and maintaining automated ingest and transformation…